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Is your feature request related to a problem? Please describe.
In causal estimation tasks, one is interested in typically using front door adjustment to estimate the total causal effects given a fully specified causal graph (i.e. nx.DiGraph, or pywhy_graphs.ADMG).
Is your feature request related to a problem? Please describe.
In causal estimation tasks, one is interested in typically using front door adjustment to estimate the total causal effects given a fully specified causal graph (i.e. nx.DiGraph, or pywhy_graphs.ADMG).
Describe the solution you'd like
Implement https://arxiv.org/pdf/2210.05816.pdf and refactor https://github.com/CausalAILab/FrontdoorAdjustmentSets to use the
pywhy_graphs
API.Describe alternatives you've considered
Note that the algorithm does not work for Markov equivalence classes.
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